Introduction

Our synergy in our introductory group discussions brought us to a shared interest in movies and their back-end processes and facts. Thus, we decided to explore datasets regarding Movies. Jody enjoys comedies. Lynette and Jeffrey revel in action movies, especially MCU’s Avengers. All in the while, Zhi appreciates romance. There is more than beneath the eye of paying for a movie stub at the theater as there are many components before and after movie releases. Some pre-release factors consisting of budgeting, timeline, and production planning enhance the quality and enjoyability of the movie. While, a few post-factors incorporate ratings, price, marketing, and theater distribution network - all of which aim to drive long-term profitability and to attract a global audience. We are motivated to analyze movie trends, statistics, and logistics such as calculating maximum and minimum revenues, obtaining names of most and least profitable movies or genres, computing the number of tickets sold per movie, and grouping movies based on ranges of budgets. The source of the dataset for our project can be found here.

Summary Paragraph

Within the movies_metadata file, there were significant information that were interesting. The longest runtime of a movie was 1256 minutes. That movie was Centennial. The movie Inception, is significant because it has the highest vote count compared to any other movie. The tagline of Inception is “Your mind is the scene of the crime.” Also, the movie with the highest revenue is Avatar.

Summary Table

Chart 1: Top 10 Most Voted Movies

The purpose of this lollipop chart is to display the top 10 most voted movies. Each movie is ordered from least to most(left to right). The thin line and circle top provides more emphasis on the values of each movie, while giving it a nice and modern look.

Chart 2: Highest Budget on Movie Production Per Year

This chart intends to show the relationship between the maximum budget amounts for movie production from each year. Budget amounts have increased over time as a result of many factors, one being currency inflation and technology equipments and enhancements like CGI used in films.

Chart 4: Correlation between Movie Run Time and Earned Revenue

This chart aims to answer the question whether run time of movies has correlations with the amount of revenues gained upon release of the movies. Question at Hand: Is there a correlation between run time and revenue?